title: Prediction of gastric cancer metastasis through urinary metabolomic investigation using GC/MS.
abstract: OBJECTIVE
  To gain new insights into tumor metabolism and to identify possible biomarkers with potential diagnostic values to predict tumor metastasis.
  
  
  METHODS
  Human gastric cancer SGC-7901 cells were implanted into 24 severe combined immune deficiency (SCID) mice, which were randomly divided into metastasis group (n = 8), non-metastasis group (n = 8), and normal group (n = 8). Urinary metabolomic information was obtained by gas chromatography/mass spectrometry (GC/MS).
  
  
  RESULTS
  There were significant metabolic differences among the three groups (t test, P < 0.05). Ten selected metabolites were different between normal and cancer groups (non-metastasis and metastasis groups), and seven metabolites were also different between non-metastasis and metastasis groups. Two diagnostic models for gastric cancer and metastasis were constructed respectively by the principal component analysis (PCA). These PCA models were confirmed by corresponding receiver operating characteristic analysis (area under the curve = 1.00).
  
  
  CONCLUSIONS
  The urinary metabolomic profile is different, and the selected metabolites might be instructive to clinical diagnosis or screening metastasis for gastric cancer.
authors.affiliation: Medical College, Soochow University, Suzhou 215213, Jiangsu Province, China.
authors.forename: Jun-Duo
authors.initials: JD
authors.lastname: Hu
authors.forename: Hui-Qing
authors.initials: HQ
authors.lastname: Tang
authors.forename: Qiang
authors.initials: Q
authors.lastname: Zhang
authors.forename: Jing
authors.initials: J
authors.lastname: Fan
authors.forename: Jing
authors.initials: J
authors.lastname: Hong
authors.forename: Jian-Zhong
authors.initials: JZ
authors.lastname: Gu
authors.forename: Jin-Lian
authors.initials: JL
authors.lastname: Chen
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor / Q000652:urine*; D045744:Cell Line, Tumor; D008401:Gas Chromatography-Mass Spectrometry / Q000379:methods*; D006801:Humans; D008297:Male; D055432:Metabolomics / Q000379:methods*; D051379:Mice; D016513:Mice, SCID; D009362:Neoplasm Metastasis; D009368:Neoplasm Transplantation; D025341:Principal Component Analysis; D012372:ROC Curve; D011897:Random Allocation; D013274:Stomach Neoplasms / Q000473:pathology* / Q000652:urine*
chemical_list: D014408:Biomarkers, Tumor